Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography

Jiang Z, Huang Z, Qiu B, Liu X, Meng X, You Y, Liu G, Zhou C, Yang K, Maier A, Ren Q, Lu Y (2020)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2020

Journal

Biomedical Optics Express Optical Society of America

Book Volume: 11

Pages Range: 1216-1632

Journal Issue: 3

DOI: 10.1364/BOE.387807

Open Access Link: https://www.osapublishing.org/boe/fulltext.cfm?uri=boe-11-3-1580

Abstract

Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Meanwhile, deep learning has achieved rapid development in image-to-image translation tasks. Some studies have proposed applying deep learning models to OCTA reconstruction and have obtained preliminary results. However, current studies are mostly limited to a few specific deep neural networks. In this paper, we conducted a comparative study to investigate OCTA reconstruction using deep learning models. Four representative network architectures including single-path models, U-shaped models, generative adversarial network (GAN)-based models and multi-path models were investigated on a dataset of OCTA images acquired from rat brains. Three potential solutions were also investigated to study the feasibility of improving performance. The results showed that U-shaped models and multi-path models are two suitable architectures for OCTA reconstruction. Furthermore, merging phase information should be the potential improving direction in further research.

Authors with CRIS profile

Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Yanye Lu Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Peking University (PKU) / 北京大学 CN China (CN) Hebei University / 河北大学 CN China (CN)

How to cite

APA:

Jiang, Z., Huang, Z., Qiu, B., Liu, X., Meng, X., You, Y.,... Lu, Y. (2020). Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography. Biomedical Optics Express, 11(3), 1216-1632. https://dx.doi.org/10.1364/BOE.387807

MLA:

Jiang, Zhe, et al. "Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography." Biomedical Optics Express 11.3 (2020): 1216-1632.

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